UiPath-SAIv1試験無料問題集（213題）「UiPath Certified Professional Specialized AI Professional v1.0 認定」

出題：1

What is the primary purpose of assigning labels to messages within a dataset in UiPath Communications Mining?

A. To apply labels to a maximum amount of data to enhance model performance.

B. To allocate 20 training examples for each label.

C. To provide the platform with a collection of keywords associated with each label for predicting other instances.

D. To formulate a comprehensive training set that closely reflects the entirety of the dataset.

正解：D 解答を投票する

出題：2

Which of the following use cases is best suited for tone analysis instead of label sentiment analysis in UiPath Communications Mining?

A. Monitoring "Quality of Service" in an operations-focused shared mailbox in a B2B organization.

B. Analyzing employee engagement survey responses.

C. Analyzing customer complaints in a B2C organization.

D. Analyzing customer satisfaction survey responses.

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：3

What is the correct order of recommended steps when introducing new labels into a mature taxonomy?
Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.

正解：

* Create the new label by assigning it at least once. This is the initial step to introduce a new category or classification within your data taxonomy.
* Search for instances in the reviewed data where the new label should have been assigned, and apply the label accordingly. This step is crucial for maintaining consistency across your data set.
* Use 'Missed Label' to find all additional missing examples in the reviewed data. This action helps in identifying and rectifying any instances that may have been overlooked during the initial review.
* Check validation to ensure the label is performing as expected, and follow recommended actions if further training is required. Validation is key to assess the accuracy and performance of the new label within the system.

出題：4

How should the data be managed after extraction in the UiPath Document Understanding process?

A. Serialize the data and store it in a storage bucket or similar location.

B. Keep the data only in the queue items without serialization.

C. Directly pass the extracted data to other processes via Arguments.

D. Store the data temporarily in local folders before processing.

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：5

What new capability has been introduced for processing unstructured documents in the 2023.10 release?

A. Real-time document translation.

B. Generative capabilities for classifying various document types.

C. Only using pre-trained extraction models.

D. Manual classification of document types.

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：6

What does the Automation Suite installer enable?

A. Enables the deployment, management, and improvement of ML models on UiPath Automation Cloud, and requires no infrastructure and no maintenance.

B. Enables the deployment, management, and improvement of ML models locally with easy installation due to the automatic retrieval of the installer and associated artifacts from the internet.

C. Enables the deployment of the full UiPath Automation Platform in the environment of choice and contains everything in one package that can be deployed in multi-node mode with automatic scaling and built-in HA. monitor, configure, and upgrade.

D. Enables the deployment, management, and improvement of ML models locally, and requires manual download of all the resources and then loading them into the node.

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：7

What should a UiPath Communications Mining taxonomy contain when it is being imported?

A. Label predictions.

B. Label descriptions.

C. Entity predictions.

D. Entity descriptions.

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：8

What is the recommended number of documents per vendor to train the initial dataset?

A. 20

B. 5

C. 15

D. 10

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：9

What information should be filled in when adding an entity label for the OOB (Out Of the Box) labeling template?

A. Name, Shortcut, and Color.

B. Name, Data Type. Attribute name. Shortcut, and Color.

C. Name. Data Type. Attribute name, and Color.

D. Name. Input to be labeled. Attribute name. Shortcut, and Color.

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：10

What is the minimum number of pinned examples users should provide per label in UiPath Communications Mining?

A. 30

B. 20

C. 15

D. 25

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：11

What components are part of the Document Understanding Process template?

A. Load Document, Categorization, Data Extraction, and Validation

B. Import, Classification, Text Extractor, and Data Validation

C. Load Taxonomy, Digitization, Classification, Data Extraction, and Data Validation Export

D. Load Taxonomy, Digitization, Categorization, Data Validation, and Export

正解：C 解答を投票する

出題：12

A developer needs to create a process for the Human Resources team. During the development, they try to run the workflow containing the following dictionary variable:

What is the possible cause of the error?

A. The "John Doe" key was not present in the dictionary.

B. The Dictionary was not initialized.

C. The assign's set value syntax should be PinMapping["John Doe"].

D. The assign's set value syntax should be PinMapping<"John Doe">.

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：13

What is the difference between OCR (Optical Character Recognition) and IntelligentOCR?

A. IntelligentOCR is a UiPath Studio activity package that contains all the activities needed to enable information extraction, while OCR (Optical Character Recognition) is a method that reads text from images, recognizing each character and its position.

B. OCR (Optical Character Recognition) is a UiPath Studio activity package that contains IntelligentOCR as an activity used to read text from images, recognizing each character and its position. OCR is widely used in Document Understanding processes.

C. IntelligentOCR is simply a rebranding of the OCR (Optical Character Recognition), both of them being methods that read text from images, recognizing each character and its position.

D. OCR (Optical Character Recognition) is a method that reads text from images, recognizing each character and its position, while IntelligentOCR is an enhanced version of it that can also work with noisier input data.

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：14

When should a UiPath Communications Mining taxonomy be imported?

A. After pruning and reorganizing a taxonomy.

B. Before starting the model training.

C. When new labels must be added to the taxonomy.

D. As part of the "Increase coverage" phase.

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：15

Which of the following scenarios is a good candidate for using Document Understanding Cloud APIs with synchronous calls?

A. You need to handle multiple operations simultaneously, allowing for concurrent processing and avoiding idle time.

B. You have a large dataset that needs long-term processing.

C. You need real-time interaction and you are only processing documents with maximum five pages.

D. You need to process documents larger than five pages.

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：16

What are the out-of-the-box packages types available in Al Center?

A. Pre-trained, custom training, and reviewed.

B. Pre-trained. custom training, and fine-tunable.

C. Custom training, fine-tunable, and reviewed.

D. Pre-trained. fine-tunable, and reviewed.

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：17

Which are the the minimum required inputs in order to configure the Validation Station as an attended activity?

A. Taxonomy, Document Object Model, Automatic Extraction Results. Document Directory.

B. Taxonomy, Document Path, Document Object Model, Document Type. Document Text.

C. Taxonomy, Document Path, Document Type, Document Text, Automatic Extraction Results.

D. Taxonomy, Document Path, Document Object Model, Document Text, Automatic Extraction Results.

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

UiPath-SAIv1試験無料問題集「UiPath Certified Professional Specialized AI Professional v1.0 認定」